The lectures will be mainly for discussing subjects with the students and problem-solving for theory application (with support from medical doctors). In the laboratory classes, students will develop computer applications for diagnostics and self-regulation, enhancing their self-learning and quest for knowledge skills.
To know how to use the main quantitative algorithms used in the diagnosis of most common physiological systems (cardiovascular, respiratory, digestive, urinary tract, etc.)
Advanced treatment of physiological signals to extract their characteristics in temporal and frequency domains.
Theoretical analysis of homeostatic and self-regulation functions of human physiological systems. Design regulation systems for prostheses and clinical and hospital equipment.
Extraction of physiological characteristics for diagnosis (in the time and frequency domains). of Discrete Fourier and cosine transforms. Wavelets, in the time and frequency domains, for biomedical applications.
Diagnostic algorithms: cardio-vascular, respiratory, digestive, urinary, systems etc.
- Linear and non-linear time series and its use in medicine.
- Identification of Physiologic Systems: parametric and nonparametric models. Identifiability in open and closed loop.
- Optimization and self-regulation in physiological systems. Self-adaptation in physiology.
The Medical Algorithms Project, www.medal.org.
Time-Frequency and Wavelets in Biomedical Engineering,Metin Akay (Ed), 1997, Wiley-IEEE Press Series on Biomedical Engineering.
Wavelets in Medicine and Biology, Akram Aldroubi and Michael Unser, Eds., CRC Press, Boca Raton, FL, 1996.
Biomedical Signal Processing and Signal Modelling, E. N. Bruce, Wiley 2001.
Identification of Nonlinear Physiological Systems, Westwick e Kearney, IEEE Press Series Biomed Eng 2003
Physiological Control Systems, Analysis, Simulation and Estimation. Khoo, IEEE Press Series Biomed Eng 2000